graph-schema
dot-skills Graph Database Schema Design Best Practices
Comprehensive graph database data modeling guide for property graphs (Neo4j, Memgraph, Amazon Neptune, etc.). Contains 46 rules across 8 categories, prioritized by modeling impact from critical (entity classification, relationship design) to incremental (scale and evolution). Each rule includes detailed explanations, real-world Cypher examples comparing incorrect vs. correct models, and specific impact descriptions.
Philosophy: Data modeling correctness first, performance second. Always ask "what is the user trying to achieve?" before choosing structure.
When to Apply
Reference these guidelines when:
- Designing a new graph database schema from domain requirements
- Translating a relational schema to a graph model
- Deciding whether something should be a node, relationship, or property
- Reviewing an existing graph schema for modeling errors
- Refactoring a graph that produces awkward or slow queries
- Planning for schema evolution and data growth
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
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